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ai_khanlogic

Artificial Inteligence to solve & play a complete Khan logic game. Human vs AI - Human vs Human - AI vs AI

android_imatisse

ask

A platform to rent & sell items

clustering-reduction

Kmeans, EM and Neural Networks applied on reduced dataset using different dimensionality reduction algorithms.

computer-vision

Computer Vision @GTech MSCS

cs8803-yourfav

CS8803 - Georgia Tech MSCS course. Mobile Apps & Services | Peer assignment | YourFav displays pictures content (third party API) and favorites

data-hunter

DataHunter is a module that acts as a black-box extracting sense to a dataset (an array of JavaScript objects) using k-means and data-analysis algorithms.

data-mining

Projects of Machine Learning and DataMining - course followed at Université de Technologie de Compiegne (UTC) France.

data-visualization

Different projects to visualize datasets inner relations and patterns

datamining-project

deep-learning

Deep Learning models with vanilla & PyTorch implementations. Projects, Research, Theory and homeworks

devops-lab

expemaximization_indepfeatures

A python class running Expectation Maximization algorithm to cluster a pandas dataset X composed of several conditionally independant features (assuming they are all based on Normal Distribution) | To be finished. #unsupervised-learning

kaggle_human_proteins

Classify subcellular protein patterns in human cells

kmeans-taxisdata

Map Reduce Kmeans on taxis dataset - course followed at Université de Technologie de Compiegne (UTC) France.

machine-learning

Performance analysis of Decisions Trees, Boosting & Bagging, KNN, Neural Network and Linear Regression algorithms. Over two Data Sets (meant-to-be) very different in nature and volume.

maxaposteriori

Maximum posterior module (python class) - Enable the fitting of model and prediction of outcome using Bayesian rules.

micromacro-lstm

LSTM to model temporal dependencies between micro and macro sequences of input. Research project

nonlinear-optimization

Jupyter notebook to resolve a typical optimization problem, using different algorithms seen in class (Optimization COS360).

pacman-multiagent

A multi agent platform simulating an IA running a pacman like game.

randomized-optimization

Analysis (adurocher3-analysis.pdf) of four randomized optimization algorithms. Finding NNets weights, and solving non-linear problems.

regression-dtree

a regression decision tree, based on ID3 algorithm and correlation metric to choose best feature

trading-strategy

Generate trading orders (BUY, SELL, NOTHING) using technical orders' rules based on historical data. Manual Strategy uses my modest intuition to find the optimal policy. QLearnerStrategy uses Machine Learning (QLearning algorithm) to find the optimal policy: four indicators are discretized to generate each state.

transformer

Deep Learning project, Transformer with attention. PyTorch. (credits paper ref. https://arxiv.org/abs/1706.03762)

utcomputer_lo21

UTComputer is a scientific calcultator - Applying POO theory

workshop-utc

Repo de demo pour le Workshop de l'UTC